Multi-source and multi-classifier system for regional landcover mapping

Abstract

Forest managers need consistent and continuous data on existing vegetation and landcover to address most land management issues and concerns. The current operational approach used by the USDA Forest Service, Northern Region to produce such data using a multi-source and multi-classifier system is described. The methodological components of this system include: (a) ecogeographic stratification, (b) production of image objects through image segmentation, (c) incorporation of multi-temporal image data and change detection, (d) extensive use of ecological modeling and other ancillary data, (e) generation of reference data integrating field sampled inventory data through a structured aerial photo interpretation process, and (f) utilization of multiple classifiers for different levels of the classification hierarchy.